About the role
Who you are
- A bachelor's degree in Computer Science, Data Science, Engineering, or a related field
- 7+ years in data engineering, analytics engineering, or data platform engineering
- 5+ years managing or formally leading engineers
- Proficiency in data engineering tech stack: Python / SQL / dbt / Airflow / Gitlab
- Experience designing dimensional models, semantic layers, data marts, or analytical data products
- Experience with data quality, testing, lineage, observability, and production support
- Strong ability to translate business needs into technical architecture
- Experience with sensitive or regulated data and access controls
- Proven ability to coach engineers and build healthy technical culture
- Strong communication with technical and non technical stakeholders
- Proficiency in relational and cloud database platforms such as Snowflake, Redshift, or GCP
- Thorough knowledge of data modeling, database design, data architecture principles, data operations, and CI/CD
- Strong analytical and problem-solving abilities, with the capability to simplify complex issues into actionable plans
- People analytics, HR data, compensation, talent, workforce planning, or Workday experience
- Experience building AI, LLM, RAG, or natural language analytics products
- Experience with Snowflake Cortex AI, Streamlit, semantic models, or evaluation frameworks
- Experience in fintech, banking, or regulated environments
What the job involves
- This role will lead the data engineering function supporting People Analytics, including AI-assisted workforce analytics on Snowflake. This is a player-coach role requiring hands-on technical leadership plus people leadership, with strong business partnership and the ability to balance speed, quality, governance, and innovation
- Manage and develop data engineers
- Manage, coach, and grow a team of data engineers
- Set expectations for quality, collaboration, delivery, and technical ownership
- Create a strong engineering culture where people solve hard problems, move quickly, and enjoy the work
- Collaborate with cross-functional teams, such as other data engineers, people analysts, data scientists, and business stakeholders, to translate requirements into production-ready deliverables, and communicate technical trade-offs to non-technical partners
- Stay hands on
- Write and review production code
- Lead design reviews, code reviews, and technical problem solving
- Step into critical pipelines, models, or AI workflows when needed
- Build scalable People data foundations
- Design and maintain sustainable data models, pipelines, semantic layers, and testing frameworks
- Establish team practices for documentation, lineage, data quality, and observability
- Own engineering standards
- Set standards for SQL, Python, dbt, Airflow, Snowflake, testing, documentation, CI/CD, and release management
- Ensure the team ships work that is reliable, maintainable, secure, and understandable
- Enforce data governance policies and practices to maintain data integrity, security, and compliance with relevant regulations
- Support AI enabled analytics
- Own technical delivery for AI-assisted workforce analytics and internal tools
- Translate business needs into scalable technical designs, delivery plans, and engineering milestones
- Partner with People Analytics, People leaders, Legal, Compliance, and other stakeholders to deliver trusted workforce insights
- Partner on semantic models, evaluation datasets, testing, and quality controls for AI-assisted analytics
- Balance speed and rigor
- Create enough process to protect quality, privacy, and trust for sensitive People data without slowing the team unnecessarily
Benefits
- Comprehensive health, vision, dental, life insurance, and disability benefits
- Generous vacation and holidays
- Paid parental leave for eligible employees
- 401(k) and education on retirement planning
- Tuition reimbursement on approved programs, up to $5,250 per year
- Monthly contribution up to $200 to help you pay off your student loans
- Great health & well-being benefits including: telehealth parental support, subsidized gym program
- Flexible time off
- Fertility and family planning options
- Free financial classes
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